Own the technical design and implementation of complex software systems from conception through production.
Drive architectural decisions balancing scalability, maintainability, performance, and reliability.
Write, review, and improve high-quality production code while promoting engineering best practices.
Provide constructive technical guidance and code review feedback, including validation of AI-generated code.
Champion software engineering excellence through testing, automation, documentation, and continuous improvement.
AI-Native Software Development
Build production-grade AI agents and agentic workflows using AWS Bedrock, Anthropic/Claude, LangGraph, CrewAI, or comparable technologies.
Apply an AI-first mindset to software development by incorporating AI-assisted tools and automation into daily engineering practices.
Identify manual or repetitive engineering processes and transform them into scalable AI-powered solutions.
Design, implement, and maintain evaluation frameworks for AI systems, including regression testing, evaluation datasets, LLM-as-judge methodologies, and human-in-the-loop review processes.
Ensure AI-powered software solutions meet the same standards for quality, reliability, security, and testing as traditional software applications.
Cloud & Data Engineering
Build and operate cloud-native software solutions utilizing AWS services such as Lambda, ECS, RDS, S3, SQS, API Gateway, and CloudWatch.
Design, develop, and maintain data pipelines and ETL workflows using technologies such as Glue, Spark/PySpark, Kafka, or similar platforms.
Implement and maintain Infrastructure as Code (IaC) using Terraform or equivalent tools.
Drive observability, monitoring, logging, and operational readiness across software platforms and services.
Key Qualifications
Bachelor's degree in Computer Science, Software Engineering, Engineering, or a related field, or an equivalent combination of education and practical experience.
Proven experience as a Senior Software Engineer designing, building, and supporting complex production systems.
Strong hands-on software development experience using modern programming languages such as Python, Java, Node.js, or similar.
Experience designing and implementing distributed systems, APIs, and microservices architectures.
Extensive experience developing cloud-native applications and services within AWS environments.
Strong background in data engineering, including data modeling, ETL development, pipeline design, and large-scale data processing.
Demonstrated experience building and deploying production-grade AI agents and agentic systems that solve real-world business challenges.
Required experience developing evaluation and testing frameworks for LLM and AI-agent solutions, including regression testing, evaluation datasets, and model performance validation.
Experience leveraging AI-assisted development practices and transforming manual engineering workflows into automated solutions.
Experience with infrastructure as code, CI/CD pipelines, observability tools, and operational best practices.
Excellent problem-solving, collaboration, and communication skills with the ability to influence technical decisions across teams.
Unlock your Altus Experience!
If you’re looking to advance your career in in an industry that is transitioning for greatness, there’s no better place than Altus Group.
Our high trust, high performance culture prioritizes progressive programs that empower you to deliver your greatest performance while promoting collective success where everyone is recognized and connected.
We offer boundless opportunities in a rapidly growing global business: mentorship from the best and brightest in CRE, access to our Altus Intelligence Academy, and the chance to work with the best data sets, tools and technology in the industry.
What Altus Group offers
Rewarding performance: competitive compensation, incentive and bonus plans, and a total rewards package prioritizing mental, physical, and financial well-being.
Growth and development: we invest in your professional learning. Our Altus Intelligence Academy offers over 150,000 hours of learning content.
Flexible work model: our Activity-Based Work model provides flexibility to align your work location to the needs of the work — use the office for collaboration and remote work for focused tasks.
Inclusivity & Accessibility
Altus Group is committed to fostering an inclusive work environment where all clients and employees feel welcomed, accepted and valued. We provide an atmosphere free from barriers to promote diversity, equity, and inclusion, and encourage equal opportunities for all employees. We’re seeking candidates with diverse experiences and provide accessible candidate experiences throughout the selection process. If you need accommodation, please contact us at accessibility@altusgroup.com or +1 888 692 7487.
Use of Artificial Intelligence
AI tools may be used to support the initial stages of screening for this role; however, all assessments and final hiring decisions are reviewed and made by an Altus Group hiring professional.
Background Checks
Please note that as part of our commitment to maintaining a safe and secure workplace, Altus Group may conduct background checks on candidates who receive a conditional offer of employment. These checks may include, but are not limited to, verification of employment history, education credentials, criminal records, credit history (where relevant), and reference checks. The scope and nature of background checks may vary depending on the role, location, and applicable laws. All background checks will be conducted in compliance with local laws and regulations, and candidates will be informed of any checks required as part of the recruitment process.
Other Notes / Application Process
We appreciate all applicants; however, only those selected to move forward will be contacted. Thank you for your interest in Altus Group.
